MonitoraSC: a new forest cover and land use map of Santa Catarina state
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Agropecuária Catarinense (Online) |
Texto Completo: | https://publicacoes.epagri.sc.gov.br/rac/article/view/1086 |
Resumo: | A forest cover and land use map provides fundamental information for territorial management, aiming at socioeconomic development, environmental planning and control and protection of natural resources. In this article, a new forest cover map is introduced, using synergies between field data from Santa Catarina Floristic and Forest Inventory (IFFSC) and remote sensing data. Landsat-8 OLI images (2017) were classified using the Random Forest algorithm. Twelve thematic classes were mapped; the minimum mapping area is 0.5 hectare. The map has an overall accuracy of 95%, with a confidence interval of 1.0% (alpha = 0.05). The average accuracy per class varies between 90% (agriculture) and 97% (restinga). Concerning the forest class, the map showed a 96.2% coincidence with the IFFSC sample points. Native forest cover (forests from the intermediate regeneration stage on) is present in 38.05% of the territory, reforestation in 10.46%, agriculture in 16.73% (including 1.77% of irrigated rice crops), pastures and natural savanna in 29.24%. The area of the original extension of the restinga was determined to be 1,773 km², of which 814.5 km² (or 45.9%) are covered by natural remnants, beaches and dunes. This mapping forms the basis for decision-making by public agents involved in territorial planning and management activities and will serve as a baseline for the continuous monitoring of the extent of the state's forest cover. |
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MonitoraSC: a new forest cover and land use map of Santa Catarina stateMonitoraSC: um novo mapa de cobertura florestal e uso da terra de Santa Catarinathematic mappingforest coverRandom Forest classificationmapeamento temático;cobertura florestal;classificação Random ForestA forest cover and land use map provides fundamental information for territorial management, aiming at socioeconomic development, environmental planning and control and protection of natural resources. In this article, a new forest cover map is introduced, using synergies between field data from Santa Catarina Floristic and Forest Inventory (IFFSC) and remote sensing data. Landsat-8 OLI images (2017) were classified using the Random Forest algorithm. Twelve thematic classes were mapped; the minimum mapping area is 0.5 hectare. The map has an overall accuracy of 95%, with a confidence interval of 1.0% (alpha = 0.05). The average accuracy per class varies between 90% (agriculture) and 97% (restinga). Concerning the forest class, the map showed a 96.2% coincidence with the IFFSC sample points. Native forest cover (forests from the intermediate regeneration stage on) is present in 38.05% of the territory, reforestation in 10.46%, agriculture in 16.73% (including 1.77% of irrigated rice crops), pastures and natural savanna in 29.24%. The area of the original extension of the restinga was determined to be 1,773 km², of which 814.5 km² (or 45.9%) are covered by natural remnants, beaches and dunes. This mapping forms the basis for decision-making by public agents involved in territorial planning and management activities and will serve as a baseline for the continuous monitoring of the extent of the state's forest cover.Um mapeamento da cobertura florestal e dos diferentes usos da terra proporciona informações fundamentais para a gestão territorial visando ao desenvolvimento social e econômico, planejamento e controle ambiental e proteção dos recursos naturais. Neste artigo, é apresentado um novo mapeamento, valendo-se de sinergias entre os dados de campo do Inventário Florístico Florestal de Santa Catarina (IFFSC) e o uso de recursos de sensoriamento remoto. Imagens do satélite Landsat-8 OLI do ano de 2017 foram classificadas, utilizando o algoritmo Random Forest. A legenda é composta por 12 classes temáticas; a área mínima mapeada é de 0,5 hectare. O mapa tem acurácia geral de 95%, com intervalo de confiança de 1,0% (alfa=0,05). A acurácia média por classe varia entre 90% (agricultura) e 97% (restinga). Para a classe floresta, o mapa apresentou coincidência de 96,2% com os pontos amostrais do IFFSC. A cobertura florestal nativa (florestas a partir do estágio médio de regeneração) está presente em 38,05% do território, reflorestamentos em 10,46%, agricultura em 16,73% (incluídos 1,77% de culturas de arroz irrigado), pastagens e campos naturais em 29,24%. A área da extensão original da restinga foi determinada em 1.773km², dos quais 814,5km² (ou 45,9%) cobertos por remanescentes naturais, praias e dunas. O mapeamento constitui a base para a tomada de decisão de agentes públicos envolvidos em atividades de planejamento e gestão territorial e servirá como linha-base para o monitoramento contínuo da extensão da cobertura florestal do estado.Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri2021-08-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://publicacoes.epagri.sc.gov.br/rac/article/view/108610.52945/rac.v34i2.1086Agropecuária Catarinense Journal; Vol. 34 No. 2 (2021); 42-48Agropecuária Catarinense; v. 34 n. 2 (2021); 42-482525-60760103-0779reponame:Agropecuária Catarinense (Online)instname:Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)instacron:EPAGRIporhttps://publicacoes.epagri.sc.gov.br/rac/article/view/1086/1129Copyright (c) 2021 Alexander Christian Vibrans, Adilson L. Nicoletti, Veraldo Liesenberg, Julio C. Refosco, Luciana P. de A. Kohler, Artur R. Bizon, Débora V. Lingner, Fernanda Dal Bosco, Marcus M. Boeno, Murilo S. da Silva, Thales B. Pessattihttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessVibrans, Alexander ChristianNicoletti, Adilson LuizLiesenberg, VeraldoRefosco, Julio CesarKohler, Luciana Pereira de Araújo Bizon, Artur RicardoLingner, Débora VanessaDal Bosco, FernandaBueno, Marcus Morescoda Silva, Murilo SchrammPessatti, Thales Bohn2021-11-08T20:17:02Zoai:ojs.publicacoes.epagri.sc.gov.br:article/1086Revistahttps://publicacoes.epagri.sc.gov.br/RAC/indexPUBhttps://publicacoes.epagri.sc.gov.br/index.php/RAC/oaieditoriarac@epagri.sc.gov.br || lamperuch@epagri.sc.gov.br2525-60760103-0779opendoar:2021-11-08T20:17:02Agropecuária Catarinense (Online) - Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)false |
dc.title.none.fl_str_mv |
MonitoraSC: a new forest cover and land use map of Santa Catarina state MonitoraSC: um novo mapa de cobertura florestal e uso da terra de Santa Catarina |
title |
MonitoraSC: a new forest cover and land use map of Santa Catarina state |
spellingShingle |
MonitoraSC: a new forest cover and land use map of Santa Catarina state Vibrans, Alexander Christian thematic mapping forest cover Random Forest classification mapeamento temático; cobertura florestal; classificação Random Forest |
title_short |
MonitoraSC: a new forest cover and land use map of Santa Catarina state |
title_full |
MonitoraSC: a new forest cover and land use map of Santa Catarina state |
title_fullStr |
MonitoraSC: a new forest cover and land use map of Santa Catarina state |
title_full_unstemmed |
MonitoraSC: a new forest cover and land use map of Santa Catarina state |
title_sort |
MonitoraSC: a new forest cover and land use map of Santa Catarina state |
author |
Vibrans, Alexander Christian |
author_facet |
Vibrans, Alexander Christian Nicoletti, Adilson Luiz Liesenberg, Veraldo Refosco, Julio Cesar Kohler, Luciana Pereira de Araújo Bizon, Artur Ricardo Lingner, Débora Vanessa Dal Bosco, Fernanda Bueno, Marcus Moresco da Silva, Murilo Schramm Pessatti, Thales Bohn |
author_role |
author |
author2 |
Nicoletti, Adilson Luiz Liesenberg, Veraldo Refosco, Julio Cesar Kohler, Luciana Pereira de Araújo Bizon, Artur Ricardo Lingner, Débora Vanessa Dal Bosco, Fernanda Bueno, Marcus Moresco da Silva, Murilo Schramm Pessatti, Thales Bohn |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Vibrans, Alexander Christian Nicoletti, Adilson Luiz Liesenberg, Veraldo Refosco, Julio Cesar Kohler, Luciana Pereira de Araújo Bizon, Artur Ricardo Lingner, Débora Vanessa Dal Bosco, Fernanda Bueno, Marcus Moresco da Silva, Murilo Schramm Pessatti, Thales Bohn |
dc.subject.por.fl_str_mv |
thematic mapping forest cover Random Forest classification mapeamento temático; cobertura florestal; classificação Random Forest |
topic |
thematic mapping forest cover Random Forest classification mapeamento temático; cobertura florestal; classificação Random Forest |
description |
A forest cover and land use map provides fundamental information for territorial management, aiming at socioeconomic development, environmental planning and control and protection of natural resources. In this article, a new forest cover map is introduced, using synergies between field data from Santa Catarina Floristic and Forest Inventory (IFFSC) and remote sensing data. Landsat-8 OLI images (2017) were classified using the Random Forest algorithm. Twelve thematic classes were mapped; the minimum mapping area is 0.5 hectare. The map has an overall accuracy of 95%, with a confidence interval of 1.0% (alpha = 0.05). The average accuracy per class varies between 90% (agriculture) and 97% (restinga). Concerning the forest class, the map showed a 96.2% coincidence with the IFFSC sample points. Native forest cover (forests from the intermediate regeneration stage on) is present in 38.05% of the territory, reforestation in 10.46%, agriculture in 16.73% (including 1.77% of irrigated rice crops), pastures and natural savanna in 29.24%. The area of the original extension of the restinga was determined to be 1,773 km², of which 814.5 km² (or 45.9%) are covered by natural remnants, beaches and dunes. This mapping forms the basis for decision-making by public agents involved in territorial planning and management activities and will serve as a baseline for the continuous monitoring of the extent of the state's forest cover. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-24 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://publicacoes.epagri.sc.gov.br/rac/article/view/1086 10.52945/rac.v34i2.1086 |
url |
https://publicacoes.epagri.sc.gov.br/rac/article/view/1086 |
identifier_str_mv |
10.52945/rac.v34i2.1086 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://publicacoes.epagri.sc.gov.br/rac/article/view/1086/1129 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri |
publisher.none.fl_str_mv |
Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri |
dc.source.none.fl_str_mv |
Agropecuária Catarinense Journal; Vol. 34 No. 2 (2021); 42-48 Agropecuária Catarinense; v. 34 n. 2 (2021); 42-48 2525-6076 0103-0779 reponame:Agropecuária Catarinense (Online) instname:Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri) instacron:EPAGRI |
instname_str |
Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri) |
instacron_str |
EPAGRI |
institution |
EPAGRI |
reponame_str |
Agropecuária Catarinense (Online) |
collection |
Agropecuária Catarinense (Online) |
repository.name.fl_str_mv |
Agropecuária Catarinense (Online) - Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri) |
repository.mail.fl_str_mv |
editoriarac@epagri.sc.gov.br || lamperuch@epagri.sc.gov.br |
_version_ |
1754917261190103040 |